Machine learning for Weather and Climate - Colorado State University - ECE & Cooperative Institute for Research in the Atmosphere - NSF AI Institute (AI2ES)
For anyone from the weather community interested in mastodon as an alternative to twitter - here is a list of folks who moved over there: https://t.co/3Buqsfm361
You can add yourself to this list here:
https://t.co/4bKZyp1zbl
Thank you to @islivingston @[email protected]
@DrShepherd2013 Here's a list of wx folks that are now on Mastodon. You can see which servers they're using. Not all are currently open to new users though, because of capacity limits.
https://t.co/TkERqHsjyh
I would love to get feedback from cloud experts: how good a job is the AI system doing? Do you agree with its classifications? Do you think this is a nice teaching tool? Could be fun to share this in outreach events. Something for folks to do at home!
Found a fun app called Cloud-a-Day by the Cloud Appreciation Society https://t.co/IDd4U9Vhjv . It have two cool tools: 1) take a picture and have an AI identify cloud type; 2) Identify cloud type yourself by answering questions (decision tree in background?)
So where is the weather/climate/ATS community going to move to? Time to decide, so that we can all move there and keep the community together. Let’s decide and announce that before this platform falls apart - and nobody knows where to find everyone again. Coordinated move …
Today I “hopped-on-and-off” multiple trains to make it up to Jülich, where a very nice research institute is located. We talked ML for air quality and I presented some of the severe storm research I’ve been doing
@MikeHudema Is their an equivalent for zones with little natural water, such as Colorado? Is there a ‘xeriscaping” version of this? I imagine otherwise the excessive water needs make this overall a bad option.
🚨 paper pre-print alert 🚨 The much anticipated Part 2 of our machine learning tutorial papers is now available online (https://t.co/WeOKSCX8DK) covering neural networks and deep learning. We know these papers are long, so we included a TL;DR table (1/2)